AI Consulting for Business

Choosing an AI tool is easy. Knowing which tools fit your business, where they belong in the workflow, and how to use them safely is harder. MayMarkAnalytics helps organizations evaluate AI options, prioritize practical use cases, build repeatable processes, and train teams to use AI with confidence. The goal is measurable time savings, better decisions, and more consistent execution—not AI for its own sake.

What I Help You Do

AI opportunity assessment: identify repetitive work, bottlenecks, and decisions that could benefit from AI.
Tool selection: compare options based on actual tasks, integrations, security requirements, cost, and ease of adoption.
Implementation and workflows: build usable processes for research, writing, reporting, knowledge retrieval, sales support, and marketing operations.
Training and playbooks: teach teams when to use AI, how to write effective instructions, how to review outputs, and when to escalate to a person.
Performance review: measure adoption, time saved, output quality, and ongoing tool costs.

Which AI Tools Make Sense?

There is no universal best AI platform. Depending on the use case, I can help evaluate conversational assistants such as ChatGPT, Claude, Gemini, and Microsoft Copilot; research and knowledge tools; meeting and documentation assistants; and automation platforms such as Zapier, Make, or workflows within your existing CRM. Recommendations are based on requirements and current capabilities—not a predetermined vendor.

When to Use AI—and When Not To

Good fits: first drafts, brainstorming, summarizing approved documents, preparing analysis, organizing internal information, categorizing routine requests, and assisting with repetitive workflows.

Use a human review: customer-facing claims, financial or operational decisions, sensitive communications, and any AI output that could affect customers or employees.

Not a good fit without safeguards: confidential data entered into unapproved tools, unverified factual claims, high-stakes decisions delegated entirely to a model, or complicated automations with no clear return on investment.

How an Engagement Works

Discover: review your goals, team workflows, existing software, and constraints.
Prioritize: rank opportunities by business value, effort, data sensitivity, and expected ROI.
Pilot: test a limited use case with success criteria and a human owner.
Implement: document workflows, permissions, review checkpoints, and escalation paths.
Train and improve: equip the team with practical examples and review results after launch.

AI for Marketing, Sales, and Operations

My background in marketing strategy, analytics, CRM, and automation helps connect AI decisions to the systems teams already use. That may mean improving content production with editorial review, analyzing campaign performance more efficiently, helping sales teams prepare for conversations, documenting processes, or routing routine internal requests. I look for improvements that are maintainable and measurable.

Frequently Asked Questions

Do I need to replace my existing software?

Usually not. I start with the tools and integrations you already have, then assess whether a new platform solves a real gap.

Can you show my team how to use ChatGPT and other AI tools?

Yes. Training can cover effective prompts, repeatable workflows, verification, privacy considerations, and practical use cases by role.

How do you decide if AI is worth the cost?

We define the current process, expected time savings, quality requirements, software cost, implementation effort, and ownership before scaling.

Will AI run our business on its own?

No. AI should support people and well-defined processes, with access controls and human review appropriate to the risk.

A Practical AI Tool-Selection Framework

An AI platform should be selected based on the work it must perform—not on what received the most attention this month. Before recommending software, I document the users, permitted data, required accuracy, existing Microsoft/Google/CRM environment, total cost, and who owns the output.

Research, writing, and analysis: compare assistant capabilities, source verification, collaboration, and data controls.
Employee knowledge access: assess approved document sources, permissions, retrieval accuracy, and how answers link back to evidence.
Marketing and sales workflows: assess CRM compatibility, lead research, creative drafting, quality review, and reporting use cases.
Automation: separate rule-based processes from AI-dependent decisions, test failure scenarios, and specify human checkpoints.

Deliverables you can expect

Depending on scope, an engagement may produce a prioritized AI opportunity map, vendor comparison, a limited pilot with success criteria, approved usage guidance, workflow documentation, and role-specific training. Each recommendation should explain when not to use AI, especially around confidential information and consequential decisions.

Where AI connects to your existing systems

AI adoption becomes more valuable when it improves a real process. Explore website and CRM workflow automation, marketing analytics, and senior marketing support. Based in Dublin, Ohio; available to businesses in Columbus and remote teams.

For a step-by-step evaluation method, read How to Choose AI Tools for Your Business.

Make AI Useful for Your Business

Get a practical plan for what to use, how to use it, and what to avoid. Based in Dublin, Ohio, serving Columbus-area businesses and remote teams.